首页> 外文会议>Proceedings of the ACM SIGCOMM 2012 conference applications, technologies, architectures, and protocols for computer communication >The Only Constant is Change: Incorporating Time-Varying Network Reservations in Data Centers
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The Only Constant is Change: Incorporating Time-Varying Network Reservations in Data Centers

机译:唯一不变的是变化:将时变网络保留纳入数据中心

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In multi-tenant datacenters, jobs of different tenants compete for the shared datacenter network and can suffer poor performance and high cost from varying, unpredictable network performance. Recently, several virtual network ions have been proposed to provide explicit APIs for tenant jobs to specify and reserve virtual clusters (VC) with both explicit VMs and required network bandwidth between the VMs. However, all of the existing proposals reserve a fixed bandwidth throughout the entire execution of a job. In the paper, we first profile the traffic patterns of several popular cloud applications, and find that they generate substantial traffic during only 30%-60% of the entire execution, suggesting existing simple VC models waste precious networking resources. We then propose a fine-grained virtual network ion, Time-Interleaved Virtual Clusters (TIVC), that models the time-varying nature of the networking requirement of cloud applications. To demonstrate the effectiveness of TIVC, we develop PROTEUS, a system that implements the new ion. Using large-scale simulations of cloud application workloads and prototype implementation ninning actual cloud applications, we show the new ion significantly increases the utilization of the entire datacenter and reduces the cost to the tenants, compared to previous fixed-bandwidth ions.
机译:在多租户数据中心中,不同租户的工作会争夺共享数据中心网络,并且由于变化多端的网络性能而导致性能低下和成本高昂。最近,已经提出了几种虚拟网络离子来为租户作业提供显式API,以指定和保留具有显式VM和虚拟机之间所需的网络带宽的虚拟集群(VC)。但是,所有现有建议在整个作业执行过程中都保留固定带宽。在本文中,我们首先分析了几种流行的云应用程序的流量模式,发现它们在整个执行过程中仅产生30%-60%的流量,这表明现有的简单VC模型浪费了宝贵的网络资源。然后,我们提出了一种细粒度的虚拟网络离子,即时间交错虚拟集群(TIVC),该模型可模拟云应用程序网络需求的时变性质。为了证明TIVC的有效性,我们开发了PROTEUS,这是一种实现新离子的系统。通过对云应用程序工作负载进行大规模仿真并在实际的云应用程序中实现原型实现,我们证明,与以前的固定带宽离子相比,新离子显着提高了整个数据中心的利用率并降低了租户的成本。

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